Instructions to use WindyWord/translate-ms-ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-ms-ms with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindyWord/translate-ms-ms")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-ms-ms", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e01dc6d063a94b08e12f5ab35dc3949aca9bdf42c5ddde0b87669081baca4721
- Size of remote file:
- 305 kB
- SHA256:
- d7b0fa317ceea66daaacf8b0a9ac20fbd43b28748751323285f0cb363e23f9e9
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